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Related Experiment Videos

A semi-automatic method for left ventricle volume estimate: an in vivo validation study.

C Corsi1, C Lamberti, A Sarti

  • 1DEIS, University of Bologna, Bologna, Italy.

Computers in Cardiology
|December 16, 2003
PubMed
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This study validates a level set segmentation model for left ventricular (LV) volume estimation. The method shows excellent agreement with MRI, proving reliable for clinical use in cardiac imaging.

Area of Science:

  • Cardiovascular Imaging
  • Medical Image Analysis
  • Computational Anatomy

Background:

  • Accurate left ventricular (LV) volume estimation is crucial for diagnosing and managing cardiac diseases.
  • Traditional methods for LV volume assessment can be time-consuming or limited in accuracy.

Purpose of the Study:

  • To validate a novel segmentation model based on the level set technique for estimating left ventricular (LV) volumes.
  • To compare the accuracy of this segmentation model against established magnetic resonance imaging (MRI) standards.

Main Methods:

  • A validation protocol was developed to compare LV volume estimates from a level set segmentation model with real-time 3D echocardiography (RT3DE) and MRI data.
  • Twenty-four subjects (normal and pathological) underwent both RT3DE and MRI.
Keywords:
NASA Discipline CardiopulmonaryNASA Program Biomedical Research and CountermeasuresNon-NASA Center

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  • Statistical analysis was performed on LV volumes, stroke volume (SV), and ejection fraction (EF).

    • Main Results:

    • The level set segmentation model demonstrated an excellent correlation with MRI reference estimates (r=0.98).
    • The regression equation was y=0.89x + 13.78, indicating high agreement.
    • Mean errors were low: 8 ml for stroke volume (SV) and 2% for ejection fraction (EF).

    Conclusions:

    • The level set segmentation technique provides reliable left ventricular (LV) volume estimates.
    • This method is suitable for clinical application in cardiac imaging, offering a validated approach for volumetric analysis.